I also read these key citations below on T cell immunity
2/11
How can a prominent immunologist not consider this early body of research? So I thought about potential roadblocks to accepting new data... a process called anchoring bias
This is a bias that’s created when you commit to an outcome & don’t assimilate new info as it arises
3/11
initially I was accepting of lockdown but as evidence presented itself I changed my tune... specifically I started to change my tune after no uptick in NYC after 2 weeks of Floyd protests
4/11
I became even more questioning after we understood what exactly happened with the fraud regarding surgisphere which lead to several retractions from major journals and the errors in dosage admitted by principal investigator regarding the recovery trial dosage of HCQ...
5/11
I became even more questioning then even moreso after successive data on immunity that I recently reviewed.
5/11
after all of this I really started to question the public health messaging. We all thought Sweden was crazy initially... but we have to admit now when Denmark, Norway, Finland and all of Europe is having cases go up while Sweden is flat ... maybe they got it right
🤔
6/11
it's okay to be wrong and change - I admit I was wrong. Initially I was scared and supported lockdown and have now changed tune - but many things prevent accepting new data and being wrong - namely ANCHORING BIAS
7/11
Another issue that’s keeping people from accepting new data besides anchoring bias is hyperbole.
People may hear me say I’m against lockdowns, but they believe it means something else
8/11
I support protected our immune-compromised, elderly
Anyone should be able to wear a mask in close proximity indoor environments
Anyone should take common sense precautions of distancing in indoor environments
We should have access to PPE for healthcare workers
9/11
The main issue for me is that I now believe that lockdowns were likely not helpful and I admit I was wrong before... I pray that I’m not wrong again but so far this is where my re-evaluation has brought me
10/11
While for me it may be easy to admit I was wrong
It may be much harder for politicians during an election year
11/end
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After helping thousands of patients lose weight, here’s my advice for those looking for lifelong, sustainable life changes. These are the “5 MUSTS” anyone trying to lose weight lifelong NEEDS to do.
🧵/Thread
Before you understand my “5 musts”, simply ask yourself -what are the side effects of your prior weight loss attempts- NOT your reasons, NOT what you want to happen, what went wrong, what made you stop?
The 5 Musts: #1 HUNGER
Most people quit diets because they feel low energy, tired & hungry. Your weight loss attempt will need to manage HUNGER. Are food choices making you full, or are they leaving you craving more a couple of hours later? Stick to:: 🐠🥩🍳🍗🍖🍤🫑🥑🥬🥦
Summary:
Poorly calculated
Don’t quantify hormonal effects on appetite
Labels/Tracking don’t effect intake
Worse outcomes vs. dieting
Follow along with this fully cited thread 1/n
We have known as far back as 1982 that tracking calories, food logging is inaccurate & doesn’t predict weight loss
10.1093/ajcn/35.4.727
Meta-analysis in 2008 by Harnack and French, then follow-up in 2014 from Eblel, Kiszko reviews and assesses the evidence on the effectiveness of calorie labeling at the point of purchase
"Concerns on the effectiveness of calorie labeling policies"
I have a serious problem with the term “pre-diabetes.”
The prefix “pre” is used to describe what comes before something.
In reality, “pre”-diabetes is actually AFTER or “post” 15 years of the high insulin levels & inflammation associated with the modern lifestyle.
Prediabetes is usually diagnosed by checking an a1c level, which is the percentage of hemoglobin that binds to sugar as a percentage of normal hemoglobin.
If you a1c is between 5.7 and 6.4, you are considered to have “pre-diabetes”
To achieve this level of pre-diabetes, you must sustain enough carbohydrate/glycemic excursions & weight gain where your average glucose rises sufficiently above normal levels.
The a1c describes your speed, your are past your speed limit.
How statisticians and researchers arrived at the conclusion that the BlueZones are a FRAUD. 🤔
🔑 Thread with key excerpts
1/n
“When these states transition to state-wide birth registration, the number of supercentenarians falls by 80% per year“
2/n
“The US data support the hypothesis that improved vital registration should reduce the number of supercentenarians, and be associated with changing patterns of old-age survival, by reducing age-coding error rates.”
3/n
How I approached high LDL in my patients, and how we observed a DECREASE in LDL of 480mg/dl !!!!
About my published case-series of 5 patients and clinical experience with thousands of patients …
(1/20)
As data supporting low carb diets has proliferated for weight loss, diabetes, seizures, mental health and other conditions, patients are now presenting with various issues related to the diet
2/20
For example, while it’s true that consistently a1c, triglycerides, HDL and lpa seem to improve, some patients report some adverse events.